Gender: Male 
Age: 45-54
Nationality: United States
Ethnicity: Black or African American 
Marital status: Married 
First language: English 
Religion: Christian 
Education: Graduate degree
Mother's education: Undergraduate degree
Father's education: Graduate degree
Self-assessed socioeconomic status (1-10): 7
Home: Own 
Employment: Employed full time
Occupation: Service and sales workers (whose who provide personal and protective services related to travel, housekeeping, catering, personal care, protection against fire and unlawful acts)
Mother's occupation: Craft related trades workers (those who produce or process foodstuffs, textiles, wooden, metal and other articles, including handicraft goods, and apply specific technical and practical knowledge and skills to construct and maintain buildings)
Father's occupation: Armed forces occupations (includes all jobs held by members of the armed forces)
Hobbies: Listen to jazz;Watch sports;Use social media 
Devices used daily: Laptop;Smartphone;Smartwatch 
NLP tools known: Spell checker (i.e., correcting misspellings);E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder);Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Dialog technology (e.g. chatbots that communicate with you such as chatGPT);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Text-to-Speech (i.e, computers being able to read out loud written language);Speech-to-Text (i.e. a computer transcribing your spoken language to written language) 
NLP tools used: Question Answering & Search Engine. (e.g., browsers or ask questions to smart devices/assistants);Reading text from scanned documents (i.e. “Optical character recognition” or OCR. Given an image representing printed text, determine the corresponding text.);Speech-to-Text (i.e. a computer transcribing your spoken language to written language);Text-to-Speech (i.e, computers being able to read out loud written language);Grammar checker (i.e., correcting grammar mistakes);Spell checker (i.e., correcting misspellings) 
NLP tools they would find useful: E-mail spam detection (i.e., automatically send spam e-mails to your Trash folder) 
Frequency of LLM use: Nearly every day
LLMs used: ChatGPT 
LLM use cases: Brainstorming;Writing (e.g., composing emails);Solving math or logical problems;Completing assignments;Answering questions about general knowledge;Summarizing long texts 
Contexts of LLM use: Work;Personal;Creative or artistic;Entertainment 
Prompt 1: General Knowledge Questions. For example. "Who is the current president of America?"
Prompt 2: Daily Assistance: Queries such as "What's the weather forecast for today?" or "What are some healthy breakfast ideas?".
Prompt 3: Health & Wellness: Requests such as "What are some effective stress-relief techniques?" or "Can you provide a simple workout routine?".
Prompt 4: Financial Advice: Queries like "How do I start investing in stocks?" or "What are some tips for saving money?".
Prompt 5: Creative Projects: Queries like "Can you help me brainstorm ideas for a novel?" or "What are some fun DIY craft projects?".